% Generate the classification results of MSTV method as follows: % % P. Duan et al.,"Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation", accepted to % IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. % % URL: https://ieeexplore.ieee.org/document/8725896 % The SVM toolbox which can be downloaded at: % http://www.csie.ntu.edu.tw/~cjlin/libsvm/ The code is the implentation of paper Puhong Duan, Xudong Kang, Shutao Li, and Pedram Ghamisi,¡°Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation¡± IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, to be published, 2019£¬DOI: 10.1109/JSTARS.2019.2915272. If you use this code, please kindly cite the paper: @ARTICLE{8725896, author={P. {Duan} and X. {Kang} and S. {Li} and P. {Ghamisi}}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, title={Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation}, year={2019}, volume={}, number={}, pages={1-15}, keywords={Feature extraction;Hyperspectral imaging;Kernel;Principal component analysis;Noise robustness;Dimension reduction;hyperspectral image (HSI) classification;kernel principal component analysis (KPCA);multi-scale total variation (MSTV)}, doi={10.1109/JSTARS.2019.2915272}, ISSN={1939-1404}, month={},} The code has not been well organized. Please contact me if you meet any problems. Email: puhong_duan@hnu.edu.cn